FastPaye.
Payments, fewer steps.
Onboarding, KYC, and fast-pay flows for a consumer fintech. A trust-led visual language and a mobile interaction model that defaults to fewer steps without skipping any.
- HTML · CSS
- Next.js
- Tailwind
- Sector
- Fintech · Payments
- Users
- Consumer (mobile-first)
- Scope
- Onboarding, KYC, send/receive
- Surface
- Mobile app
• 01 · Overview
Overview.
Consumer payments app with KYC and onboarding for a fintech entering a crowded mobile market. Role: lead product designer, partnered with compliance, growth, and a four-engineer mobile team. MVP target: three months.
• 02 · Challenge
The challenge.
Sign-up had a 30% form-abandonment rate. KYC felt like an interrogation; the first transfer required permissions the app hadn't earned the right to ask for. Users dropped between “I want this” and “I've sent money” at six different friction points.
• 03 · Process
Process.
Built three primary personas from 22 customer interviews. Prototyped onboarding at three step-counts (legacy, mid, minimum). Ran A/B tests on each segment to validate progressive-trust ordering. Stress-tested KYC abandonment recovery with five drop-off scenarios.
- 22 customer interviews, three personas
- Three onboarding prototypes A/B-tested by segment
- Trust-signal language audited with compliance and growth
• 04 · Solution
Solution.
Frictionless flows ordered by progressive trust: ask only what the next step actually needs, defer the rest. Modular, resumable KYC with explicit “why we ask”. QR-payment send/request as one-screen interactions with contextual confirmation. Stillness and clarity instead of “secure padlock” iconography.
- Onboarding — reduced step count, deferred KYC, instant deposit
- KYC flow — modular, resumable, “why we ask” copy
- QR send / request — one screen, contextual confirmation
- Account home — balance, last activity, quick actions
• 05 · Results & metrics
Results.
- 30% → 75%task success rate (form completion)
- +2×first-30-days engagement
- 3 mobrief to MVP, on schedule